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Toward predictive digital twins: From physics-based modeling to scientific machine learning
Presenter
- Karen Willcox
October 8, 2020
IMSI
Predictive data science for physical systems- From model reduction to scientific machine learning
Presenter
- Karen Willcox
February 20, 2020
ICERM
Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition
Presenter
- Karen Willcox
October 15, 2018
IPAM
Multi-fidelity approaches: Fusing models and data to achieve efficient design, optimization and uncertainty quantification
Presenter
- Karen Willcox
September 18, 2018
IPAM
Model order reduction: Approximate yet accurate surrogates for large-scale simulation
Presenter
- Karen Willcox
September 17, 2018
IPAM
Data-Driven Multifidelity Methods for Monte Carlo Estimation and Beyond
Presenter
- Benjamin Peherstorfer
September 24, 2018
IPAM
Illustrating Mathematics in The Mathematical Intelligencer
Presenter
- Karen Parshall
August 11, 2025
ICERM
Advances, opportunities, and challenges for parametric model order reduction in digital twins
Presenter
- Karen Veroy-Grepl
June 27, 2024
IMSI
Towards quantitative prediction of kinetic rates and optimal reaction coordinates from the projected dynamics of transition paths
Presenter
- Karen Palacio-Rodriguez
April 22, 2024
IMSI